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Ontology-Enhanced Association Mining [chapter]

Vojtěch Svátek, Jan Rauch, Martin Ralbovský
2006 Lecture Notes in Computer Science  
The roles of ontologies in KDD are potentially manifold.  ...  The underlying KDD paradigm is association mining tailored to our 4ft-Miner tool. Experience from two different application domains-medicine and sociology-is presented throughout the paper.  ...  Association Mining with 4ft-Miner 4ft-Miner mines for association rules of the form ϕ ≈ ψ, where ϕ and ψ are called antecedent and succedent, respectively.  ... 
doi:10.1007/11908678_11 fatcat:mdalu2sv2facxftytno27bg6zu

Enhanced Way of Association Rule Mining With Ontology

T. Bharathi
2016 International Journal Of Engineering And Computer Science  
For a data mining process, association rule mining is one of the key components.  ...  In this paper, a discussion on the technique of Association rule mining with ontology (ARMO) is presented that is employed to find the most precise association rules in the area of ontology, ontology analysis  ...  Based on the ontology tree, a new technique to find the optimized association rules was proposed that is named as ARMO (Association rule mining with ontology).  ... 
doi:10.18535/ijecs/v5i10.24 fatcat:bnovg64lt5d4nilat3rgwuymom

Knowledge Enhancement Through Ontology-Guided Text Mining [chapter]

Muhammad Abulaish, Lipika Dey
2005 Lecture Notes in Computer Science  
It also enhances the existing ontology with new concepts and their descriptors which may be precise and/ or imprecise, mined from the text.  ...  The system employs text-mining techniques to mine information from text documents guided by an underlying ontology.  ...  The mined concepts are integrated into the existing ontological structure to enhance it. The rest of the paper is organized as follows.  ... 
doi:10.1007/11590316_95 fatcat:tccdivgdyvf65pcwgbqlnh6qgu

Enhancing Text Mining Using Ontology Based Similarity Distance Measure

Atiya Kazi, Priyanka Bandagale
2018 Zenodo  
Generally,Text mining applications disregard the side-information contained within the text document,which can enhance the overall clustering process.  ...  Th is inclusion of ontology in the pre-clustering phase w ill generate more coherent clusters by inducing ontology along with side-information. https://www.ijiert.org/paper-details?paper_id=140576  ...  I Accuracy comparison Table for eight datasets In Association with IET, UK & Sponsored by TEQIP In Association with IET, UK & Sponsored by TEQIP In Association with IET, UK & Sponsored by TEQIP In Association  ... 
doi:10.5281/zenodo.1468201 fatcat:tsp4roe4xjfj7bz5sadtjspjq4

Semantics-driven frequent data pattern mining on electronic health records for effective adverse drug event monitoring

Jingshan Huang, Jun Huan, Alexander Tropsha, Jiangbo Dang, He Zhang, Min Xiong
2013 2013 IEEE International Conference on Bioinformatics and Biomedicine  
By effectively utilizing human knowledge formally encoded in EHR domain ontologies, our proposed algorithms will enhance the identification of the drug ADE causality out of large amounts of heterogeneous  ...  But effective EHR knowledge discovery and data mining is not trivial because involved data usually have significantly different semantics among each other.  ...  Authors in [23] presented an association rule mining algorithm to filter undesired results based on templates defined using general ontological concepts.  ... 
doi:10.1109/bibm.2013.6732567 dblp:conf/bibm/HuangHTDZX13 fatcat:qqai3vve7zhptoexhblcxuku44

Ontology-Based Approaches for Data Mining: A Survey

2017 International Journal of Recent Trends in Engineering and Research  
The formal structure of ontology makes it a nature approach to encode area information for the information mining utilization. Keywords -information mining; ontology; data mining I.  ...  Numerous exploration endeavors have validated the advantages of fusing area learning in information mining and in the meantime, the expansion of information building has enhanced the group of space learning  ...  Performance assessment: How ontologies can enhance the execution of data mining frameworks in applications. II.  ... 
doi:10.23883/ijrter.2017.3275.yrxe7 fatcat:k4kklayebnhs5lys52yialqj7i

A Survey Paper on OntologyBased Approaches for Semantic Data Mining

Priti V
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Here in Semantic information mining ontology can possibly help semantic information mining and how formal semantics in ontologies can be joined into the data mining procedure.  ...  Numerous exploration endeavors have validated the advantages of fusing area learning in information mining and in the meantime, the expansion of information building has enhanced the group of space learning  ...  : How ontologies can enhance the execution of data mining frameworks in applications.  ... 
doi:10.17762/ijritcc2321-8169.150480 fatcat:fmf5zhbu6jcunbx3tjuemqpod4

A Semantically Enriched Web Usage Based Recommendation Model

Ramesh, Chalapati Rao, Goverdhan
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
The frequent navigational patterns are extracted in the form of Ontology instances instead of Web page views and the resultant semantic patterns are used for generating Web page recommendations to the  ...  Recent studies show that Web usage mining has emerged as a popular approach in providing Web personalization.  ...  By using Sequential Pattern Mining algorithm enhanced with semantic information, frequent sequential patterns in terms of ontological instances are found.  ... 
doi:10.5121/ijcsit.2011.3517 fatcat:l7m7e3g6lbhdlpvvowd4xypbu4

Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text [chapter]

Lipika Dey, Muhammad Abulaish
2006 Lecture Notes in Computer Science  
In this paper, we present a method for characterizing biological relations mined from a tagged corpus using an ontology-based text-mining approach to extend the underlying ontology into a fuzzy relational  ...  Extensive experimentation has been conducted over the entire GENIA corpus and the results of enhancing the GENIA ontology are presented in the paper.  ...  Table 1 shows the top 5 relations along with their associated concept pairs and strengths identified for enhancing the GENIA ontology.  ... 
doi:10.1007/11908029_55 fatcat:45gro66hgnepvdyj73idf5eu7a

Data Preprocessing and Cleansing in Web Log on Ontology for Enhanced Decision Making

F. Mary Harin Fernandez, R. Ponnusamy
2016 Indian Journal of Science and Technology  
The fuzzy association rule minimizes users' exploration period and facilitate for enhance decision making.  ...  The web server log files used for mining several expedient patterns to analyze the access behavior of the user. Data pre-processing plays a dynamic role in Data Mining.  ...  In future we enhance the data transformation task as fully automated and improve the quality of mining web log files.  ... 
doi:10.17485/ijst/2016/v9i10/88899 fatcat:wcdzcrfncbhmtcg223bpvxlgpm

A Survey on Ontology based Web Usage Mining

Vandana M. Patil, J. B. Patil
2016 International Journal of Database Theory and Application  
Recent studies show that, semantically enriched Web Usage Mining enhances the quality of discovered patterns.  ...  It is also called as Ontology based Web Usage Mining, as Ontologies act as backbone for conceptual description of semantic knowledge in Semantic Web.  ...  The ontologies are used in pattern discovery phase of WUM. The framework uses sequential association rule mining technique and SPADE algorithm for sequential association rule mining [24] .  ... 
doi:10.14257/ijdta.2016.9.12.18 fatcat:ucvb4c464fcd5jkz2bijigdhvi

Ontology in association rules

Inhaúma Ferraz, Ana Cristina Garcia
2013 SpringerPlus  
On the other hand, important association rules may be overlooked owing to the setting of the support threshold, which is a very subjective metric, but rooted in most data mining techniques.  ...  Although most data mining techniques, such as the use of association rules, may substantially reduce the search effort over large data sets, often, the consequential outcomes surpass the amount of information  ...  This transaction set is mined to generate an enhanced set of mined association rules.  ... 
doi:10.1186/2193-1801-2-452 pmid:24083103 pmcid:PMC3786067 fatcat:tnxav7nujrdpjixx5go2snvxpa

Fuzzy Ontology based Approach for Flexible Association Rules Mining

Alsayed M., Ahmed M., Mohamed H.
2017 International Journal of Advanced Computer Science and Applications  
It focuses on enhancing the process of extracting association rules from a huge database respecting a predefined domain fuzzy ontology.  ...  Commonly, association rules mining based on crisp ontology is found to be more flexible than classical ones as it considers the relationships between concepts or items.  ...  The next step is mining process which extracts patterns from these datasets based on fuzzy ontology to enhance the frequent pattern.  ... 
doi:10.14569/ijacsa.2017.080541 fatcat:pmam3qysknhsrlvj5mdrvmjrum

An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations

Muhammad Abulaish
2009 Journal of Emerging Technologies in Web Intelligence  
Index Terms -Ontology engineering, ontology enhancement, Fuzzy ontology, imprecise concept, text mining, knowledge management.  ...  In this paper, we propose an ontology enhancement framework to accommodate imprecise concepts and their inter-relations mined from text documents.  ...  from text documents to enhance the underling domain ontology into fuzzy ontology.  ... 
doi:10.4304/jetwi.1.1.22-36 fatcat:uadmpekxffgpxip54wm2sk2b5a

BIO-INSPIRED COMPUTING VIA ONTOLOGY TO ENHANCE TAKING A DECISION ON HETEROGENEOUS DATA

Eman Elsayed
2019 Al-Azhar Bulletin of Science  
So, this paper proposed a semantic enhancement on the genotype/phenotype system. That is for a communication decision support system based on the Ontology decision support system framework ODSS.  ...  This paper introduced a compact representation, and a search strategy based on the universal Ontology. The proposed method is general to handle any data mining technique on large heterogeneous data.  ...  Also, [17] used Ontology and association rules mining technique for more semantic decisions.  ... 
doi:10.21608/absb.2019.86748 fatcat:rawdibs6wjdg5mmbrlis6kvqam
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